In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!
This course is part of the Linear Algebra for Data Science Using Python Specialization
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Coursera Labs
Includes hands on learning projects.
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Approx. 10 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessFlexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 2 of 4 in the
Approx. 10 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
2 hours to complete
Introduction to Finding Inverses
2 hours to complete
8 videos (Total 39 min), 1 reading, 3 quizzes
2 hours to complete
Introduction to Matrix Algebra with Python
2 hours to complete
5 videos (Total 33 min)
2 hours to complete
Solving Systems of Linear Equations
2 hours to complete
5 videos (Total 35 min)
4 hours to complete
Eigenvalues and Eigenvectors
4 hours to complete
11 videos (Total 87 min)
About the Linear Algebra for Data Science Using Python Specialization

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